A. Bastys "Digital signal processing, II"
Catalog description:
Image processing, time-frequency and wavelet analysis,
multiresolution analysis, transform coding.
Current Text:
Stephane Mallat,
A wavelet tour of signal processing,
Academic-Press, 1998.
Additional Reference:
A. M. Montvila, Skaitmeninis signalø apdorojimas,
Vilnius, Technika, 1994.
Goals:
The students should learn the theory and practice
of main topics of two-dimensional digital signal processing.
They also should show practical ability to
rotate, change scale, zoom, smooth, filter;
to obtain time-scale and time-frequency representation of data;
to choose appropriate transform for data information compressing.
Content:
- Sampling;
- color theory;
- integral and discrete orthogonal transforms;
- time-invariant filtering;
- time-scale and time-frequency data representation;
- image multiresolution analysis;
- fractal sets and self-similar functions;
- wavelet bases and transforms;
- wavelet packet and local cosine bases;
- approximation of digital signals;
- optimal filtering;
- embedded transform coding;
- fractal images.
Required Background:
Course of mathematical analysis, linear algebra,
introduction to probability theory, programming.
to the list of courses
to the CS II home page
to the Story of the Baroque in Lithuania